
51 - 200 employees
Founded 2000
🤖 Artificial Intelligence
💳 Fintech
💼 Consulting
🔥 Funding within the last year
💰 PE Growth/Expansion on 2026-04
Artificial Intelligence • Fintech • Consulting
Praxent is an AI transformation and engineering firm that builds AI-native products, processes, and teams for financial services firms. They specialize in modernizing legacy systems (for example, payment reconciliation at scale), AI-enabled engineering and SDLC, custom AI agents (including Claude cowork enablement and agentic engineering), and data transformation for Banking, Lending, Payments, Capital Markets, Insurance, and Health Benefits/PBM. Praxent also offers AI security and governance (PraxentGuard) and positions itself as a partner to financial institutions for deploying governed, auditable AI solutions.
🕒 October 22
🌐 Mexico, Colombia, +1 more countries – Remote
⏰ Full Time
🟠 Senior
🔧 QA Engineer (Quality Assurance)
👻 Ghost score 11%
Where this job comes from
Posted on Praxent's careers page, not through a job board
First seen by Remote Rocketship October 22
Still open on Praxent's site. Checked 1 hour ago.

51 - 200 employees
Founded 2000
🤖 Artificial Intelligence
💳 Fintech
💼 Consulting
🔥 Funding within the last year
💰 PE Growth/Expansion on 2026-04
Artificial Intelligence • Fintech • Consulting
Praxent is an AI transformation and engineering firm that builds AI-native products, processes, and teams for financial services firms. They specialize in modernizing legacy systems (for example, payment reconciliation at scale), AI-enabled engineering and SDLC, custom AI agents (including Claude cowork enablement and agentic engineering), and data transformation for Banking, Lending, Payments, Capital Markets, Insurance, and Health Benefits/PBM. Praxent also offers AI security and governance (PraxentGuard) and positions itself as a partner to financial institutions for deploying governed, auditable AI solutions.
• Enhance the team’s capacity to deliver assigned stories by the end of each sprint • Ensure Core Values are reflected throughout the project, QA team, and department • Perform automated and API testing for complex applications and scenarios • Locate and document edge cases, assess risks, and propose acceptance-criteria modifications • Apply automation, API testing, and accessibility testing principles and solutions • Document anticipated risks and blockers, advance best practices, and mentor peers and junior team members • Serve as a technical SME in sprints by prioritizing testing efforts and enhancing acceptance criteria • Conduct recruiting interviews and analyze candidates for hiring or contracting • Present testing plans, metrics, insights, and direction during sprint reviews • Propose client solutions and improvements that increase value delivery • Ensure the team understands acceptance criteria, track daily progress, limit QA kickback, deliver assigned stories, and identify opportunities to increase capacity and velocity • Participate in sprint planning, delegate technical work, anticipate efficient delivery and technical-debt prevention, coordinate with delivery leads, and act as a technical interface for clients
• Demonstrable proficiency with desired technologies and tools • Genuine fluency writing complex T-SQL from scratch • Hands-on SQL Server experience, including data warehouse, SSRS, and Power BI • Experience validating source-to-target data, transformations, data completeness, and end-to-end ETL flows against specifications and mapping documents • Solid grasp of test cases, test plans, test strategy, positive/negative testing, performance and load testing, and data completeness testing • Experience testing SSRS and Power BI output against SQL queries • Experience with automated testing for web and mobile applications • 5–8 years of professional experience in relevant technology and projects • Experience presenting to client stakeholders and communicating technical and business value • Experience understanding and articulating business outcomes impacted by development projects • Experience coaching and mentoring through collaboration and structured code reviews • Relevant education may include intensive programs, Bachelor's Degree in Computer Science, Software Engineering, or equivalent experience • Bonus points for Azure data sources, SSAS cubes, and version control • Alignment with Praxent’s stated core values and a CAN DO mentality
• Full-time employment opportunity in the employee’s country • Paid time off • Local holidays • Country-specific perks and benefits • Work/life balance and encouraged 40-hour work week • Supportive, non-micromanagement work environment • Country-specific bonus pay, local protections, and perks • Employer-covered ongoing learning, including online courses, tech conferences, and certifications
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